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Heterotopic Mucosal Engrafting Procedure for Direct Drug Delivery to the Brain in Mice

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Published on: July 16, 2014

Analysis of a simulation algorithm for direct brain drug delivery.

Kathryn Hammond Rosenbluth¹, Jan Felix Eschermann, Gabriele Mittermeyer

¹Department of Neurosurgery, University of California San Francisco (UCSF), San Francisco, CA 94103-0555, USA. Kate.Rosenbluth@ucsf.edu

|September 28, 2011

Summary

Convection enhanced delivery (CED) precisely targets brain drug delivery, bypassing the blood-brain barrier. A new simulation algorithm accurately predicts drug distribution, aiding surgical planning for clinical trials.

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Area of Science:

Neurosurgery
Biomedical Engineering
Radiology

Background:

Convection enhanced delivery (CED) enables targeted drug delivery in the brain by bypassing the blood-brain barrier.
Precise drug distribution in CED is influenced by cannula placement, infusion rate, and brain tissue properties.

Purpose of the Study:

To analyze a simulation algorithm for predicting drug distribution using pre-operative MRI data.
To validate the algorithm's accuracy for clinical applications in upcoming CED trials.

Main Methods:

Utilized baseline MRI, including diffusion tensor imaging (DTI), to estimate brain tissue properties.
Adapted a simulation algorithm for specific CED devices and protocols.
Validated the algorithm by comparing simulated volumes with MRI-observed gadolinium distribution in 20 non-human primate infusions.

Main Results:

Demonstrated strong agreement between simulated and actual gadolinium volumes in terms of size and location.
Validated the predictive capability of the simulation algorithm for CED procedures.

Conclusions:

The developed simulation algorithm is clinically useful for surgical planning in convection enhanced delivery.
Accurate prediction of drug distribution enhances the precision and safety of targeted brain drug delivery.